基于IAS精确估计的太阳轮齿面剥落检测方法研究  

Research on the tooth surface spalling diagnosis method of sun gear based on instantaneous angle signal accuracy estimation

作　　者：邹翔 郭瑜[1] Zou Xiang;Guo Yu(Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明理工大学机电工程学院,昆明650500

出　　处：《电子测量与仪器学报》2023年第4期107-114,共8页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(52165067);云南省重点领域科技计划项目(202002AC080001)资助。

摘　　要：瞬时角速度(instantaneous angular speed,IAS)信号的估计精度易受编码器自身误差影响,影响其故障检测结果。针对上述问题提出了一种局部多项式微分估计方法对IAS信号进行估计。首先通过局部多项式微分抑制编码器细分误差产生的锯齿状噪声和估计误差导致的信号不连续问题,实现了IAS信号的高精度获取,然后使用精确估计的IAS信号通过局部同步拟合技术提取太阳轮故障特征。通过实验和仿真说明,本文提出的局部多项式微分估计能较好地抑制编码器误差导致的IAS信号噪声,提高IAS信号的信号比,结合局部同步拟合能够有效地提取太阳轮齿面剥落故障特征。The estimation accuracy of the instantaneous angular speed(IAS)signal is easily affected by the encoder’s error,which affects its fault detection results.Because of such problems,a local polynomial differential estimation method was proposed to estimate the IAS signal.First,the local polynomial differential was used to suppress the sawtooth noise generated by the encoder subdivision errors and the signal discontinuity caused by the estimation errors,so high-precision acquisition of the IAS signal was achieved,and finally,the accurately estimated IAS signal was used to extract the sun gear fault characteristics by local synchronous fitting technique.Through experiments and simulations,it is shown that the local polynomial differential estimation proposed in this paper can effectively suppress the IAS signal noise caused by encoder errors,improve the signal to noise ratio of the IAS signal,and combine local synchronous fitting to effectively extract the features of the sun gear tooth surface spalling fault.

关 键 词：故障检测 行星齿轮传动 瞬时角速度信号 多项式微分估计 高阶Hermite插值 局部同步拟合 

分 类 号：TH132.46[机械工程—机械制造及自动化] TN762[电子电信—电路与系统]